Intelligent Automation(IA) systems can detect and produce large amounts of information, automate an entire process or workflow, learn and adapt as it keeps improving with daily updates and interaction.

Automation in logistics is at a nascent stage. Reports show that implementing automation can deliver up to 30% increase in transaction speed, 25% reduction in cost, 100% accuracy and better compliance.

RPA is clearly considered an improvement over assisted automation but still, there are places where it is more suitable than unassisted automation. Myths and misunderstandings around robotic process automation however are still many.

Current tools used to educate managers and executives to machine learning solutions are either too complicated or too confusing. Online guides are mostly theory thus making it difficult for actual implementation.

Experts are certain that the new wave of digital transformation will adopt IA and reap maximum benefits of this modern technology. If the basics are in place, intelligent automation will become the new backbone of your enterprise.

RPA is suited for tasks that can be performed as per predefined algorithms, tasks that need high volumes of data to be accumulated, segregated or converted, and the ones that need to processed quickly with high accuracy